Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes
Our study identified several potential drug targets for different subtypes of diabetes using an integrated genetic approach, yielding new insights for precision medicine of diabetes.
Authors
- Xiao Tan (ORCID: https://orcid.org/0000-0003-3992-5812)
- Viswanathan Mohan (ORCID: https://orcid.org/0000-0001-5038-6210)
- Aleksandr V. Sokolov (ORCID: https://orcid.org/0000-0002-0523-5533)
- Hanzhang Wu (ORCID: https://orcid.org/0009-0002-5004-5082)
- Jiahe Wei (ORCID: https://orcid.org/0000-0003-4220-4688)
- Jiahao Zhu (ORCID: https://orcid.org/0000-0001-5660-9737)
- Ningjian Wang (ORCID: https://orcid.org/0000-0001-9591-6991)
- Ranjit Mohan Anjana
- Helgi B. Schiöth
Institutions
- Uppsala University (SE)
- Sir Run Run Shaw Hospital (CN)
- Shanghai Ninth People's Hospital (CN)
- Zhejiang Medical and Health Group Hangzhou Hospital (CN)
- Dr. Mohan's Diabetes Specialities Centre (IN)
- Hangzhou Medical College (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1111/dom.70088
- Citations
- 2
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Natural Science Foundation of China